Welcome to my Data Science Profile

Coming from an engineering and science background, I find my potential not lying solely in coding or engineering. Rather, I challenged myself with a different field in the professional world. I excelled and grew into various positions over the years. Different perspectives have elevated my business mindset to a higher level. As a constant learner and always keeping up with the fast changing world, I am currently pursuing a second master’s degree in Data Science at Southern Methodist University. With my deep understanding of engineering and science along with 3+ years of B2C business development experience, I am looking to apply my hard and soft skills from diversified domains to the world of Data. Email: nickmingyang@gmail.com

Analyzed and cleaned large amount of LendingClub Loan Data in Python. Procedures include dealing with missing data, data imputation, creating new features, statistics and visualization of attributes, Principle Component Analysis, etc
Built machine learning pipelines using various machine learning techniques to predict loan default prior to occurrence, methods used including SVM, Decision Tree, Logistic Regression, Random Forest, XGBoost and Deep Neural Network
Tested and refined different ML models using grid search and stratified cross validation due to class imbalance. Additional validation set was utilized to compare model performance and prevent over-fitting
Lead team with project efforts on multiple fronts and ensured highest quality of deliverables

Analyzed and cleaned vehicle sales data to build multiple linear regression model for interpretation of feature importance using R
Developed additional multiple linear regression model with interaction of variables as well as nonparametric model to further improve prediction score
Lead model building efforts and generated high quality deliverables

Seemlessly integrated modern Clienteling and traditional Customer Relationship Management for brand marketing
Met beyond the brand’s highest visual and merchandising standards
Actively involved in various community events to pursue value-added business opportunities
Developed new prospects and build loyal customer base for a sustainable business growth
Facilitated team with strategies to improve overall customer experience

Awarded Fashion Team YTD best sales during the first year
Ranked top 2 (top 1%) within the midwest region in sales during the second and third year in company
Successfully converted new prospects into loyal customers
Significantly exceeded customer expectations in every transaction and helped the store achieve sales plan two years in a row
Provided excellent customer service experience aligning with the corporate standard